Mobile computing as exemplified by the smart phone has become an integral part of our daily lives. The next generation of these devices will be driven by providing an even richer user experience and compelling capabilities: higher definition multimedia, 3D graphics, augmented reality, games, and voice interfaces. To address these goals, the core computing capabilities of the smart phone must be scaled. However, the energy budgets are increasing at a much lower rate, requiring fundamental improvements in computing efficiency. SIMD accelerators offer the combination of high performance and low energy consumption through low control and interconnect overhead. However, SIMD accelerators are not a panacea. Many applications lack sufficient vector parallelism to effectively utilize a large number of SIMD lanes. Further, the use of symmetric hardware lanes leads to low utilization and high static power dissipation as SIMD width is scaled. To address these inefficiencies, this work focuses on breaking two traditional rules of SIMD processing: homogeneity and static configuration. The Libra accelerator increases SIMD utility by blurring the divide between vector and instruction parallelism to support efficient execution of a wider range of loops, and it increases hardware utilization through the use of heterogeneous hardware across the SIMD lanes.

Yongjun Park is a graduate student in Electrical Engineering and Computer Science Department at University of Michigan (U of M) where he received a M.S. degree in 2009. He is mainly working with Prof. Scott Mahlke. His research interest in general is low-power and high performance computer architectures and compilers for mobile devices.